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Santi Phithakkitnukoon

 

I am a professor of urban informatics (pending official royal appointment for full professorship), director of City Context Lab, and head of the Department of Computer Engineering, Faculty of Engineering, at Chiang Mai University, Thailand. My research focusses on Urban Informatics, where I analyze large-scale digital footprints, such as mobile network data, GPS traces, social media data, and other sensory data to better understand urban dynamics and how city functions across various contexts, such transportation and social interaction.

 

Im originally from Chiang Mai, Thailand. I received my B.S.(hons) and M.S. both in Electrical Engineering in 2003 and 2005 respectively from the Southern Methodist University, Dallas, Texas, USA. I received a Ph.D. in Computer Science & Engineering from the University of North Texas, Denton, Texas, USA in 2009. I then joined the SENSEable City Laboratory at Massachusetts Institute of Technology (MIT) as a postdoctoral researcher until January 2011 and continue my association with the Lab as a research affiliate since. In 2011, I went to the United Kingdom (UK) and joined the Digital Interaction group at the Culture Lab (now Open Lab), Newcastle University as a research associate. Before coming to Chiang Mai University in June 2014, I was a Lecturer in Computing (assistant professor) at the Computing and Communications Department at The Open University, Milton Keynes, UK (October 2012 - July 2014).

 

For prospective students

 

+ If you are interested in doing a Ph.D. in Computer Engineering at Chiang Mai University under my supervision, please contact me to discuss a research proposal.

+ You should have a strong background in machine learning, data mining, and statistics.

+ You should be capable of programing with a high level language such as R or Matlab.

+ Please also read this for information about our Ph.D. program.

 

 

News

 

Aug 2024

+ Our paper, titled “A Study of Temporal Correlation Between Space Utilization and Electricity Consumption in Buildings Using Wi-Fi Probe Data,” has been published in the IEEE Access. This work is an initial effort to understand the causal relationship between space utilization and energy consumption in buildings.

 

May 2024

+ Our paper, titled “G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data,” has been published in the Public Transport journal. This is a collaboration with the University of Calgary, the University of Tokyo, and National University of Singapore (NUS).

 

Jan 2024

+ Our 3-year international collaborative research project, “AI–supported tool development for decarbonized food system” has been granted by e-ASIA. Team includes the University of Tokyo (Dr Eri Amasawa), University of Dian Nuswantoro (Dr Zainal Arifin Hasibuan), and Chiang Mai University.

 

 

 

Copyright (c) 2012 by Santi Phithakkitnukoon